Sentence examples for direct adjustments for from inspiring English sources

Second, although we stratified our analyses by age, sex and region, we could not make direct adjustments for socioeconomic status and unhealthy behaviors such as alcohol intake because information about these was not available.

The association between baseline HC and HIV diagnosis was estimated using inverse-probability-of-censoring-weights to account for artificial censoring, and direct adjustment for baseline covariates to adjust for predictors of baseline HC group (Robins et al., 2000; Hernan et al., 2006; Cole and Hernan, 2008).

To adjust for age and duration of diabetes separately, we used direct adjustment for age and then duration of diabetes at death by applying the rates from 2007 to the population from 2002 to obtain adjusted numbers to use for comparison purposes.

My view is that this adjustment strikes a reasonably good balance for now – this is the first year that we've made any sort of direct adjustment for the inclusion or exclusion of cellphones at all.

Our registry data did not allow direct adjustment for potential effects of confounders like smoking.

Direct adjustment for insurance status may not be adequate due to self-selection into insurance status in such countries based on unobserved factors (adverse self-selection).

Smoking, a major risk factor for lung cancer, COPD, and other cancer types are not available in the NHIRD [ 26, 27]; hence, this prevented direct adjustment for all possible confounders.

In addition to propensity score matching, we performed a direct adjustment for confounding using a traditional linear regression model, with the same items selected for the propensity score as covariates and organ failure free days as the dependent variable [ 16].

For example, although our adjustment for ASA grade will capture some of the comorbidities of individuals, it would be better if more detailed recording of existing diseases, conditions, and prognostic factors (such as smoking) were available to allow further more direct adjustment for confounding.

Using projections from two climate models, our summary results show increases in premature temperature-attributable deaths in the U.S. over time; additional deaths during hotter months overwhelm reductions during colder months, while holding populations constant and making no direct adjustment for potential future adaptation.

When we used direct adjustment for duration of diabetes at death using 5-year duration groups from 5 to 80 years and calculated an adjusted rate of recording of diabetes as the underlying cause of death, it was 15.2% in 2007.